Commit Graph

3 Commits

Author SHA1 Message Date
Christopher Beitel a4576e48f1 Restore runnability of example; vendor agnostic storage (#72)
* Updates to the demo docs (notebook and readme) which were out-dated in multiple places

* Removed unused tools/ dir
* Update main readme to reference the example

* Inclusion of kubeflow vendor/ tf-job code

* Illustrates how logging and rendering to an attached volume can simplify the process of viewing logs with TensorHub and exploring
render outputs.

* Storage in user-space allows it to be sym-linked into directory tree
watched by TensorHub extension (which is running tensorboard --logdir=/home/jovyan)

* I anticipate this current approach to controlling volume mounts for NFS through
ksonnet to be replaced by doing so with python as I demonstrated in
the enhance example so I wouldn't lose sleep over the ksonnet
prototypes in this commit.
2018-04-06 21:37:08 -07:00
Michelle Casbon 41372c9314 Add .pylintrc (#61)
* Add .pylintrc

* Resolve lint complaints in agents/trainer/task.py

* Resolve lint complaints with flask app.py

* Resolve linting issues

Remove duplicate seq2seq_utils.py from workflow/workspace/src

* Use python 3.5.2 with pylint to match prow

Put pybullet import back into agents/trainer/task.py with a pylint ignore statement
Use main(_) to ensure it works with tf.app.run
2018-03-29 08:25:02 -07:00
cwbeitel 4e1e42a088 reinforcement learning example with TensorFlow Agents
see also https://github.com/cwbeitel/examples-old for previous PR
2018-03-05 00:36:49 +00:00